Foundational Learning Technology
Abstract
The Foundational Learning Technology program developed advanced machine learning techniques that enable cognitive systems to continuously learn, adapt and respond to new situations by drawing inferences from past experience and existing information stores. Techniques addressed diverse machine learning challenges in processing of sensory inputs, language acquisition, combinatorial algorithms, strategic analysis, planning, reasoning, and reflection. Modeling human language acquisition by associating words with the real-world entities perceived through multiple modes of sensory input enabled computers to associate real world objects and events with linguistic information and use this language facility for reasoning and planning. This enabled computers to comprehend the physical world and its linguistic representations which will constitute a building block for the development of advanced computer reasoning capabilities.
Document Details
- Document Type
- Accomplishment
- Publication Date
- Oct 01, 2013
- Source ID
- 4aa514200e8fc70cb926e86251b9b664